Principal SOC Architect, AI Accelerators

Qualcomm

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
San Diego, CAAustin, TXORRaleigh, NCSanta Clara, CA
Salary
$172,800–$304,900 / yr
Posted
73 days ago
Freshness
Confirmed live 2 days ago
Closes
Dec 27, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $231k
This role $239k
$157k most similar roles pay here $321k

This role pays more than 59% of similar roles. Most pay $196,750–$264,900 — the shaded band above. At the midpoint, this role pays about $239k versus about $231k for comparable roles.

Based on 239 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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At a glance

TL;DR · Principal SOC Architect, AI Accelerators

The Principal SOC Architect, AI Accelerators joins the ASICS Engineering team to design architecture for next-generation AI products in the datacenter. This role involves defining requirements from the card and server level up to a full rack while analyzing current AI server deployments through customer and ODM engagements. The architect will focus on three core areas: RAS, where they will design for serviceability and availability; virtualization, ensuring isolation between clients using VMs; and security, specifically focusing on confidential compute. Key technical competencies include expertise in PCIe protocols such as SRIOV, SIOV, IDE, and TDISP, along with knowledge of Ethernet protocols for error recovery. The role addresses critical datacenter infrastructure challenges including telemetry, power, cooling, and lifecycle management to support large-scale hardware environments and complex multi-client hosting requirements.

What you'll do

  • Define architecture and requirements for next-generation AI products from the card/server level to a full rack.
  • Analyze current AI server deployments in various datacenters to identify necessary architectural enhancements.
  • Design SoC architectures specifically for Reliability, Availability, and Serviceability (RAS) at the card, server, and rack levels.
  • Implement hardware and software techniques to improve system availability and mitigate potential failures.
  • Architect virtualization solutions that support multiple clients on a single hardware platform using industry best practices.
  • Develop security features including confidential compute to ensure isolation between clients in datacenter environments.
  • Collaborate with customers and ODMs to determine specific hardware and software requirements for AI products.

What we're looking for

  • A Bachelor's degree with 8+ years of ASIC experience, a Master's with 7+ years, or a PhD with 6+ years is required.
  • Candidates must have at least 10 years of experience in hardware design, testing, and commercialization.
  • At least 3 years of experience working with datacenter products such as servers or accelerators is required.
  • In-depth knowledge of datacenter security, RAS, virtualization, telemetry, power, cooling, and lifecycle management is required.
  • Experience with PCIe protocols including SR-IOV, SI-OVR, IDE, and TDISP is preferred.
  • Knowledge of Ethernet protocols with a focus on error recovery and virtualization is preferred.
  • Expertise in server SoC security, specifically in the area of Confidential Compute, is preferred.
  • Ability to work effectively within a high-caliber international and multi-site team environment.

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